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Terminy kursów:

13.01.2020 - 15.01.2020
02.03.2020 - 04.03.2020
04.05.2020 - 06.05.2020
06.07.2020 - 08.07.2020

Oficjalny konspekt Microsoft Pozostałe szkolenia

DP-200 Implementing an Azure Data Solution

Czas trwania kursu: 3 dni
Cena: 1999zł

CERTYFIKACJE ZAWODOWE

Certyfikacja podstawowa CertyfIkacja specjalistyczna Certyfikacja ekspercka
FUNDAMENTALS ASSOCIATE EXPERT


POZIOM SZKOLENIA

podstawowy średniozaawansowany zaawansowany ekspercki
100 200 300 400


TEMATYKA ZAJĘĆ

  • Module 1: Azure for the Data Engineer
    Explain the evolving world of data
    Survey the services in the Azure Data Platform
    Identify the tasks that are performed by a Data Engineer
    Describe the use cases for the cloud in a Case Study
    Lab: Azure for the Data Engineer

 

  • Module 2: Working with Data Storage
    Choose a data storage approach in Azure
    Create an Azure Storage Account
    Explain Azure Data Lake storage
    Upload data into Azure Data Lake
    Lab: Working with Data Storage

 

  • Module 3: Enabling Team Based Data Science with Azure Databricks
    Explain Azure Databricks and Machine Learning Platforms
    Describe the Team Data Science Process
    Provision Azure Databricks and workspaces
    Perform data preparation tasks
    Lab: Enabling Team Based Data Science with Azure Databricks

 

  • Module 4: Building Globally Distributed Databases with Cosmos DB
    Create an Azure Cosmos DB database built to scale
    Insert and query data in your Azure Cosmos DB database
    Provision a .NET Core app for Cosmos DB in Visual Studio Code
    Distribute your data globally with Azure Cosmos DB
    Lab: Building Globally Distributed Databases with Cosmos DB

 

  • Module 5: Working with Relational Data Stores in the Cloud
    SQL Database and SQL Data Warehouse
    Provision an Azure SQL database to store data
    Provision and load data into Azure SQL Data Warehouse
    Lab: Working with Relational Data Stores in the Cloud

 

  • Module 6: Performing Real-Time Analytics with Stream Analytics
    Explain data streams and event processing
    Querying streaming data using Stream Analytics
    How to process data with Azure Blob and Stream Analytics
    How to process data with Event Hubs and Stream Analytics
    Lab: Performing Real-Time Analytics with Stream Analytics

 

  • Module 7: Orchestrating Data Movement with Azure Data Factory
    Explain how Azure Data Factory works
    Create Linked Services and datasets
    Create pipelines and activities
    Azure Data Factory pipeline execution and triggers
    Lab: Orchestrating Data Movement with Azure Data Factory

 

  • Module 8: Securing Azure Data Platforms
    Configuring Network Security
    Configuring Authentication
    Configuring Authorization
    Auditing Security
    Lab: Securing Azure Data Platforms

 

  • Module 9: Monitoring and Troubleshooting Data Storage and Processing
    Data Engineering troubleshooting approach
    Azure Monitoring Capabilities
    Troubleshoot common data issues
    Troubleshoot common data processing issues

    Lab: Monitoring and Troubleshooting Data Storage and Processing

 

  • Module 10: Integrating and Optimizing Data Platforms
    Integrating data platforms
    Optimizing data stores
    Optimize streaming data
    Manage disaster recovery
    Lab: Integrating and Optimizing Data Platforms